Instructions to use AKL126/bert-mlm-darija with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AKL126/bert-mlm-darija with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AKL126/bert-mlm-darija", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AKL126/bert-mlm-darija") model = AutoModelForMaskedLM.from_pretrained("AKL126/bert-mlm-darija", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Envoi du tokenizer
Browse files- .gitattributes +1 -0
- tokenizer.json +3 -0
- tokenizer_config.json +16 -0
.gitattributes
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0cb7277b7f6efc61e33bc5daf6f17142babb0bb68b2d5dd600c96471a90c62e
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size 16766134
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tokenizer_config.json
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{
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"add_prefix_space": true,
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"backend": "tokenizers",
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"is_local": false,
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"mask_token": "<mask>",
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"model_max_length": 512,
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"model_specific_special_tokens": {},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "XLMRobertaTokenizer",
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"unk_token": "<unk>"
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}
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